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Forest Inventory Data Provide Useful Information for Mapping Ecosystem Services Potential

  • Edgars Jūrmalis
  • , Arta Bārdule
  • , Jānis Donis
  • , Linda Gerra-Inohosa
  • , Zane Lībiete*
  • *Corresponding author for this work
  • Latvian State Forest Research Institute Silava
  • University of Latvia

Research output: Contribution to journalComment/debate/note

2 Citations (Scopus)

Abstract

The ecosystem services framework is a convenient approach for identifying and mapping nature’s contributions to people, and an accurate assessment of ecosystem services potential is the first step in the decision support process of well-informed land management planning. The approach we use for forest ecosystem services potential assessment in Latvia is based on the principles of the matrix model and biophysical data of the forest inventory database, and it is comparable to other assessments previously carried out in the Baltic Sea Region. The proposed approach supports spatial planning and may be integrated with assessments of other ecosystems based on the same methodological principles. The evaluation results reflect the high spatial heterogeneity of forest types in Latvia. Future work should include integrating ecosystem services flows and demand into the assessment, developing additional indicators for culturally important ecosystem services, and introducing socio-cultural valuation to account for a broader set of stakeholders and values.

Original languageEnglish
Article number1836
Pages (from-to)1-19
JournalLand
Volume12
Issue number10
DOIs
Publication statusPublished - Oct 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • CICES
  • ecosystem services indicators
  • forest management planning
  • forest structure
  • matrix model
  • stand attributes

OECD Field of Science

  • 1.6 Biological Sciences

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